Seismic performance of masonry buildings subjected to synthetic ground motions

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Türkiye

Tezin Onay Tarihi: 2019

Tezin Dili: İngilizce

Öğrenci: AHMET BAHADIR KOÇ

Asıl Danışman (Eş Danışmanlı Tezler İçin): Murat Altuğ Erberik

Eş Danışman: Ayşegül Askan Gündoğan

Özet:

Over the centuries, strong seismic activities have occurred with uncertain frequencies in the world which caused earthquake-prone regions to be severely influenced in terms of structural damage and economic losses. Therefore, seismic assessment approaches have been developed to minimize the vulnerability of structures, to carry out pre-earthquake mitigation planning and to mitigate economic losses. This study mainly focuses on the performance estimation of unreinforced masonry (URM) structures using synthetic ground motions, which are based on the simulated 1999 Düzce Earthquake. The performance values of the structural parameters for URM structures have been obtained in accordance with earthquake design specifications and literature reviews and also represent their local characteristics. The equivalent single-degree-of-freedom (SDOF) models are generated to simplify inelastic dynamic analysis by using these parameters. The synthetic ground motion records are generated in the case study Düzce region, by considering different earthquake scenarios, soil conditions and source-to-site distances. The seismic responses of structural simulations represent base shear versus displacement relationship. By comparing the results of displacement obtained from inelastic dynamic analyses and the pre-defined limit states, the damage states (DS) of URM structures are determined. At the end of the study, the sensitivity of the structural parameters, the estimation of performance levels under different magnitude and PGA values and the relationships between DS and independent variables, which comprise seismological and structural parameters, are carried out and the obtained results are interpreted by using probabilistic and statistical approaches.